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Published on 23 May 2024
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Jin,C. (2024). The analysis of the optimization direction of conventional mechanical bicycle. Applied and Computational Engineering,65,174-179.
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The analysis of the optimization direction of conventional mechanical bicycle

Can Jin *,1,
  • 1 Union College

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/65/20240491

Abstract

With the rise of environmental awareness and the intensification of urban transportation problems, bicycles have regained attention as a green and efficient way of traveling. This thesis explores and analyzes the direction of optimizing the conventional mechanical bicycle in modern society. Using a summary review approach, the thesis focuses on the optimization potential of bicycles in terms of integrating frame design and ergonomics, personalized design, enhancing cycling efficiency, and refining products. Among other things, this thesis emphasizes the importance of frame shape design, dimensional adaptation, postural optimization, dynamic adaptation, lightweight design, aerodynamic efficiency enhancement, and product development for specific market segments. In addition, this thesis discusses the use of technology integration such as built-in Global Positioning System tracking, electronic displays, and other high-tech elements in bicycle design. Through this analysis, this paper finds that there is still a lot that can be changed in today's bicycles and that the market for bicycle sales will expand even further.

Keywords

Mechanical bicycle, Optimization strategy, Environmentally Friendly mobility

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Cite this article

Jin,C. (2024). The analysis of the optimization direction of conventional mechanical bicycle. Applied and Computational Engineering,65,174-179.

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About volume

Volume title: Proceedings of Urban Intelligence: Machine Learning in Smart City Solutions - CONFSEML 2024

Conference website: https://www.confmss.org/
ISBN:978-1-83558-427-9(Print) / 978-1-83558-428-6(Online)
Conference date: 2 February 2024
Editor:Omar Marwan
Series: Applied and Computational Engineering
Volume number: Vol.65
ISSN:2755-2721(Print) / 2755-273X(Online)

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